Adrenaline is a tool designed to streamline the understanding of code through AI-generated system diagrams, transforming hours of reading into minutes. It offers features like interactive diagrams, living documentation, and a codebase understanding agent for additional explanations. Users can add repositories, and the platform supports team collaboration while ensuring security for private repositories.
Adrenaline
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Turn hours of reading code into minutes with AI-generated system diagrams.
Find or add a repository:
Examples
shobrook / openlimit
Maximize your usage of OpenAI models without hitting rate limits
Last synced 3 months ago
Public
run-llama / llama_index
LlamaIndex is a data framework for your LLM applications
Last synced a month ago
Public
yoheinakajima / babyagi
Last synced 3 months ago
Public
mistralai / mistral-src
Official inference library for Mistral models
Last synced 19 days ago
Public
openai / whisper
Robust Speech Recognition via Large-Scale Weak Supervision
Last synced a month ago
Public
OpenInterpreter / open-interpreter
A natural language interface for computers
Last synced a month ago
Public
tinygrad / tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
Last synced 10 days ago
Public
karpathy / minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Last synced 5 months ago
Public
ollama / ollama
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Last synced a month ago
Public
Stop wasting time with documentation
Vision generates living docs and interactive diagrams in seconds.
System diagrams
From UML to sequence diagrams and flowcharts, Vision produces the right visuals to clarify complex processes, data models and more.
Explore visually
Start at a birds eye view with a high-level overview of your entire codebase architecture. Click into any node to unfurl more fine-grained diagrams and articles.
Get answers
For any concepts not covered by the auto-generated diagrams and articles, Adrenaline's codebase understanding agent is on hand to provide further explanations.
FAQ
Can I add a repo to the examples list?
How long does it take to get started?
What kind of repos can I add?
Is there an option for teams?
Can I modify the prompts or models used?
Is this secure to use on my team's private repo?
Bring Adrenaline to your engineering team
Start organizing your team's technical knowledge with AI
Learn more